LangGraph introduces order to the complexities of AI agents, transforming loosely connected models into coordinated systems capable of reasoning, acting, and adapting.
Rather than viewing prompts as independent instructions, our LangGraph training courses demonstrate how to build flows where agents collaborate, maintain memory, and make decisions across evolving tasks.
Learners engage in live, instructor-led sessions that prioritize interactive, hands-on practice — whether delivered online via an interactive remote desktop or in person in Athens with the guidance of seasoned trainers.
In-person live training can also take place at client locations in Athens or at NobleProg corporate training centers, providing teams with a dedicated space to explore agentic AI in a focused setting.
Often referred to as the LangChain Graph Framework, LangGraph is rapidly becoming the foundation for multi-agent applications, offering developers and innovators a path to building AI systems that act more like partners than mere tools.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
Gain mastery over LangGraph for legal applications through this 35-hour instructor-led training in Athens. Designed for intermediate to advanced professionals, the course explores workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions with confidence.
This instructor-led program in Athens empowers professionals to architect LangGraph-based finance solutions. Learners will gain the skills to implement regulatory-compliant workflows, integrate data standards, and deploy systems with robust governance, observability, and compliance controls.
Discover the potential of LangGraph in healthcare through this live training held in Athens, specifically tailored for professionals at intermediate to advanced levels. Gain the skills to design stateful, compliant workflows, integrate critical standards such as FHIR and SNOMED CT, and effectively navigate the ethical and operational complexities of regulated environments.
This instructor-led, live training in Athens is tailored for advanced AI platform engineers, AI DevOps professionals, and ML architects who aim to optimize, debug, monitor, and operate production-grade LangGraph systems. These systems are built for stateful, multi-actor LLM applications utilizing composable graph structures.
This instructor-led training on Athens explores the application of LangGraph in marketing automation. Learners will acquire the skills to design conditional content workflows, integrate LLMs for personalized email campaigns, and manage state across multi-step pipelines, ultimately gaining practical competencies for modern marketing operations.
This live course, available online or on-site in Athens, empowers intermediate engineers to construct dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement complex branching logic, and integrate retrieval, APIs, and memory to build robust, context-aware applications.
This instructor-led LangGraph Foundations course in Athens empowers developers to create graph-based LLM applications. You will explore core concepts such as nodes, edges, state management, and branching logic. Additionally, you will learn to integrate tools, retrieval systems, and external APIs, culminating in the testing and deployment of reliable workflows through hands-on labs.
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